Longke Ran
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Cancer-related molecular mechanisms research 11
- Cancer Genomics and Diagnostics 3
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- Ferroptosis and cancer prognosis 6
- Renal cell carcinoma treatment 3
- Co-authors
- Fangzhou Song (9 shared papers)Wanfeng Zhang (15 shared papers)Jing Song (15 shared papers)Jing Jin (1 shared paper)Youquan Bu (1 shared paper)Xianqin Zhang (5 shared papers)Kun Liu (2 shared papers)Sen Wang (4 shared papers)
- Journals
- Scientific Reports (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Journal of Cellular Biochemistry (2 papers)Aging (2 papers)Medical Oncology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Longke Ran
28 papers receiving 577 citations
Peers
Comparison fields: 5 of 58
- Cancer Research 213
- Obstetrics and Gynecology 62
- Molecular Biology 250
- Pulmonary and Respiratory Medicine 104
- Reproductive Medicine 19
Countries citing papers authored by Longke Ran
This map shows the geographic impact of Longke Ran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Longke Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longke Ran more than expected).
Fields of papers citing papers by Longke Ran
This network shows the impact of papers produced by Longke Ran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Longke Ran. The network helps show where Longke Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Longke Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 82 | |
| 2 | 2019 | 75 | |
| 3 | 2017 | 55 | |
| 4 | 2019 | 54 | |
| 5 | 2018 | 51 | |
| 6 | 2018 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2019 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2023 | 17 | |
| 11 | 2019 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2014 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2014 | 7 | |
| 20 | 2019 | 6 |
About Longke Ran
Longke Ran is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Immunology and Allergy, having authored 29 papers that have together received 582 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (6 papers), Cancer Genomics and Diagnostics (3 papers), Circular RNAs in diseases (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Renal cell carcinoma treatment (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (213 citations), Obstetrics and Gynecology (62 citations), Molecular Biology (250 citations), Pulmonary and Respiratory Medicine (104 citations) and Reproductive Medicine (19 citations). Longke Ran has collaborated with scholars based in China, United States and France. Frequent co-authors include Fangzhou Song, Wanfeng Zhang, Jing Song, Jing Jin, Youquan Bu, Xianqin Zhang, Kun Liu, Sen Wang, Xian Li and Guang Li. Their work appears in journals such as Scientific Reports, Journal of Cellular and Molecular Medicine, Journal of Cellular Biochemistry, Aging and Medical Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.